We extract equipment listings, apparel catalogues, pricing signals, inventory levels, and pre-owned club conditions from PGA Tour Superstore. Delivered as clean JSON, CSV, or Parquet.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Products (Golf Clubs) objects from pgatoursuperstore.com. All fields typed and schema-versioned.
"sku": "1000000012345", "name": "Qi10 Max Driver", "brand": "TaylorMade", "price": 599.99, "category": "Golf Clubs", "dexterity": "Right Hand", "flex": "Stiff"
| # | sku | product_id | name | brand | category | sub_category |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pre-Owned Clubs objects from pgatoursuperstore.com. All fields typed and schema-versioned.
"sku": "PO-987654321", "condition_rating": "Very Good", "brand": "Titleist", "model": "TSR3 Driver", "price": 349.99, "store_location": "Atlanta, GA"
| # | sku | condition_rating | club_type | brand | model | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Apparel & Footwear objects from pgatoursuperstore.com. All fields typed and schema-versioned.
"sku": "APP-555444", "name": "Playoff 3.0 Polo", "brand": "Under Armour", "size": "L", "colour": "Navy", "price": 65.0, "stock_status": "In Stock"
| # | sku | name | brand | category | gender | size |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Promotions objects from pgatoursuperstore.com. All fields typed and schema-versioned.
"sku": "1000000012345", "current_price": 499.99, "msrp": 599.99, "discount_pct": 16.6, "promotion_name": "Father's Day Sale", "clearance_flag": false, "price_timestamp": "2026-05-12T09:14:00Z"
| # | sku | current_price | msrp | discount_pct | promotion_name | map_pricing |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Store Inventory objects from pgatoursuperstore.com. All fields typed and schema-versioned.
"store_id": "STR-042", "store_name": "PGA TOUR Superstore Roswell", "sku": "1000000012345", "in_stock": true, "pickup_available": true, "last_updated": "2026-05-12T10:00:00Z"
| # | store_id | store_name | zip_code | sku | in_stock | stock_level |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our PGA Tour Superstore scraper handles complex product variants, dynamic inventory, and multi-store pickup availability across the entire catalogue.
Loft, lie, shaft flex, dexterity, and grip combinations mapped precisely for every driver, iron set, and putter.
Extract condition ratings, specific wear notes, and dynamic pricing for used equipment.
Grip sizes, head sizes, string patterns, and weight specifications extracted from product tables.
Size, colour, width, and fit combinations with corresponding inventory availability.
Track stock levels and 'Buy Online Pick Up In Store' availability across 60+ retail locations.
Monitor MSRP, current price, clearance status, and promotional discounts.
Extract star ratings, review text, and helpful votes across all product categories.
Run daily or hourly pipelines to capture flash sales and fast-moving inventory changes.
Filter and extract complete brand line-ups for Titleist, Callaway, TaylorMade, and Ping.
Brief in. Clean data out.
Provide target categories, brands, or specific SKUs. We map the required attributes.
We configure extraction rules, proxy rotation, and location headers to bypass edge protection.
We verify variant matrices and ensure store-level inventory matches frontend displays.
Data arrives in your warehouse or S3 bucket formatted as clean JSON, CSV, or Parquet.
PGA Tour Superstore uses edge protection and dynamic front-end frameworks. We handle the circumvention.
Retail sites block datacentre IPs. We route requests through US-based residential proxies with legitimate TLS fingerprints to maintain access.
Apparel and club configurations are rendered via JavaScript. We intercept the underlying API responses to map every variant matrix instantly.
Inventory and pricing vary by location. We inject specific zip codes and store IDs into session headers to extract localised data.
A driver has different specs than a tennis racquet. We normalise disparate HTML tables into a consistent, queryable JSON schema.
We hash product records and only output SKUs with changed prices, inventory, or new additions, saving compute and storage costs.
Retailers track discounts and clearance events to remain competitive in the sporting goods sector.
Golf brands audit pricing to ensure retailers respect Minimum Advertised Price policies.
Resellers monitor pre-owned club inventory and condition ratings for arbitrage opportunities.
Merchandisers analyse category depth across golf, tennis, and pickleball to optimise their own catalogues.
Track out-of-stock rates on flagship drivers and irons to forecast supply chain bottlenecks.
Estimate brand dominance by analysing review velocity and catalogue footprint.
"PGA Tour Superstore holds the deepest inventory of golf and tennis equipment online. Querying their catalogue reveals exact market trends in sporting goods."
Extracting sporting goods data requires handling complex variant matrices like shaft flex, loft, dexterity, and grip size, which break naive scrapers. DataFlirt manages the JavaScript rendering, proxy rotation, and schema normalisation, delivering clean tabular data so your team can focus on merchandising and pricing strategy.
Everything supported by our pgatoursuperstore.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and retry logic. Playwright handles JavaScript rendering and variant hydration.
We maintain pools of residential US proxies. Rotation happens per-request to avoid IP bans.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About pgatoursuperstore.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing and product data is generally permissible. We target only public catalogue data and do not extract authenticated user information.
We intercept the front-end API calls that populate the variant dropdowns, allowing us to map every combination of loft, flex, and dexterity without executing thousands of clicks.
Yes. We can simulate user sessions for specific zip codes or store IDs to extract local availability and pickup options.
Yes. We extract the specific condition ratings, model details, and dynamic pricing associated with used inventory.
We can configure pipelines to run daily or hourly, capturing flash sales and promotional changes as they happen.
We deliver structured JSON, CSV, or Parquet files directly to your AWS S3 bucket, Google Cloud Storage, or data warehouse.
20-minute scoping call. Pilot dataset within the week. Production within two. From complete catalogue dumps to daily pricing feeds. We build and operate the pipeline. Tell us what you need.
